Agentic AI Pioneer Program

Master AI Agents, Build the Future!

  • 150+ Hours of Comprehensive Learning
  • 20+ Hands-on Projects for Skill Building
  • 1:1 Mentorship with Agentic AI Experts

50+

Projects

10+

Hours of Live Workshops Quarterly

75+

Mentorships

150+

Hours of learning

Agentic Launchpad Offer
d
:
h
:
m
:
s

Become an Agentic AI Expert

How does the Agentic AI Program help you?

150+ Hours of Intelligent Agent Training

  • Build AI agents that think, learn, and act autonomously
  • Master advanced Agentic AI frameworks and tools

50+ Real-World Projects

  • Gain hands-on experience with practical simulations
  • Tackle diverse projects to enhance your skills

1:1 Expert Mentorship

  • Receive personalized guidance from industry leaders
  • Accelerate learning with a tailored roadmap to success

Curriculum Statistics

blackbelt/icons/projects.svg

50+ Projects

Skill building with industry-relevant projects

blackbelt/icons/clock.svg

150+ Hours

Comprehensive learning to power ahead in your AI journey

blackbelt/icons/code.svg

20+ Tools

Master 20+ cutting-edge tools and frameworks

blackbelt/icons/Icon.svg

15+ Assignments

Work on Agentic AI assignments and test your skills

blackbelt/icons/Mentorship.svg

75+ Mentorship Sessions

1:1 mentorship session with leading AI experts

Personalized Roadmap

Chart your custom learning path, fueled by your ambition and built on your expertise

  • 1Introduction to Generative AI
  • 2Build Your First Agent
  • 3Learn Coding for Agentic AI
  • 4Learn LangChain, Prompt Engineering, RAG
  • 5Build an AI Agent from Scratch
  • 6Build ReAct Agents with LangChain
  • 7Build Your First AI Agent with LangGraph, Autogen, CrewAI
  • 8Learn Agentic AI Architectures & Design Pattern
  • 9Build Advanced AI Agents with LangGraph, Autogen, CrewAI
  • 10Build Agentic RAG Systems with LangGraph
  • 11Build Multi-agent Systems with LangGraph, Autogen, CrewAI
  • 12Build Reflective & Planning Agents with LangGraph, Autogen, CrewAI
Personalized Roadmap Image

Our Curriculum

Explore 17+ modules, starting from coding essentials for agents and prompt engineering to advanced topics like building automation agents with LangChain, LangGraph, AutoGen, and CrewAI.

50+ Projects
150+ Hours
20+ Tools
15+ Assignments

  1. Introduction to Generative AI

  2. Essentials of Prompt Engineering

  3. Fine-Tuning RAGs and Agents

  1. Coding with Windsurf

  1. Introduction to Agents

  2. Building Agents

  3. Working with Complex Agents

  1. Introduction to Python

  2. Working with Files and Databases

  3. Working with APIs

  4. Working with LLMs

  1. Intro to the LangChain Ecosystem

  2. LangChain Expression Language (LCEL) Essentials

  3. Managing LLM Input / Output with LangChain

  4. Project: Prompt Engineering with LangChain and ChatGPT

  5. Building LLM Chains and Conversational Applications with LangChain

  1. Introduction to Prompt Engineering

  2. Prompt Engineering Patterns

  3. Advanced Prompt Engineering Patterns

  4. Prompt Engineering with Open-Source LLM APIs

  5. Projects: Prompt Engineering with LLMs

  1. Introduction to Rag system

  2. Building Retrieval Systems - Loading Data

  3. Building Retrieval Systems - Splitting and Chunking Data

  4. Building Retrieval Systems - Vector Databases and Retrievers

  5. Projects: Building Advanced RAG Systems

  1. Introduction to Agentic Design Patterns

  2. The Reflection Pattern in Agentic AI

  3. The Tool Use Pattern in Agentic AI

  4. The Planning Pattern in Agentic AI

  5. The Multi Agent Pattern in Agentic AI

  1. Introduction to AI Agents

  2. Build a Reflection Agent from Scratch

  3. Build a Tool-Using Agent from Scratch

  4. Build a Planning Agent from Scratch

  5. Building a Multi-Agent System from Scratch

  1. Introduction to Tools and Tool Calling

  2. Essentials of AI Agents with LangChain

  3. Memory and Conversational Agents

  4. Project: Build a Text2SQL AI Agent

  5. Project: Build a Financial Analyst AI Agent

  1. Introduction to LangGraph

  2. Build AI Agents with LangGraph

  1. Introduction to CrewAI

  2. Core Components of CrewAI

  3. What sets CrewAI apart?

  1. Projects: Multi-User Conversational FInancial Analyst Tool-Use AI Agents with Memory

  2. Project: Build a Customer Support Router Agentic RAG System

  3. Project: Build a Reflective Self-Correcting code Generation AI Agen

  4. Project: Build a supervisor Multi-Agent system for financial research and data analysis

  5. Project: Build a Planning Agent for Deep Research & Structured Report Generation

  1. Introduction to AutoGen

  2. Conversation Agents - Part 1

  3. Conversation Agents - Part 2

  4. Additional Applications with AG2

  5. Introduction to AutoGen Studio and Its Interface

  1. Course Introduction and Recap

  2. Advanced Components of crewAI

  3. Building Advanced Agents

  4. Assembling Complex Crew

  5. Optimizating Agents

  1. Introduction to Agentic RAG and LangGraph

  2. Popular Agentic RAG Architectures

  3. Project: Build a Router RAG System

  4. Project: Build an Agentic Corrective RAG System

  5. Project: Build an Adaptive RAG System

  1. Introduction to AI Agents and Multi-Agent Systems

  2. Agent-Based Hotel Reservation System

  3. Advanced AI Agent Orchestration

  4. Deploying and Scaling AI Agents

  1. Introduction to AI-Powered Social Media Automation

  2. Designing the AI Content Workflow

  3. Understanding CrewAI

  4. Building Your Crew for Social Media Content

  5. Content Creation for Different Platforms

  1. Course Introduction

  2. Understanding the Agent System Architecture

  3. Implementing our AI-Powered Mock Interviewer

  1. Course Introduction

  2. Project Foundations

  3. Building Role-based Agents

  4. Building Multi-Agent System

  5. Mini Projects & Wrap-Up

Choose What to Learn Image

Insights from Industry Leaders on AI Agents

Global Leaders on the Future of Intelligent Autonomous Agents

Card cap

“We’ve seen that with the great technological revolutions of the past. Each technological revolution has gotten faster, and this will be the fastest by far. Helpful Agents Are Poised To Become AI’s Killer Function.”

– Sam Altman, CEO of OpenAI

Card cap

“AI agents will become our digital assistants, helping us navigate the complexities of the modern world. They will make our lives easier and more efficient.”

– Jeff Bezos, Founder and Executive Chairman of Amazon

Card cap

“AI agents will become the primary way we interact with computers in the future. They will be able to understand our needs and preferences, and proactively help us with tasks and decision making.”

– Satya Nadella, CEO of Microsoft

Tools you will master

Gain expertise over critical libraries & frameworks

Reinforce your learning with 50+ projects

Projects prepare you for the fast moving industry and give you an edge over others to solve real world problems.

Learning Objective:

  • Build a basic AI agent from scratch
  • Program it to research companies effectively
  • Generate concise, informative company descriptions
img.name

Build a Company Researcher Agent

Learn to create a simple agent that researches a company and creates a short description

Learning Objective:

  • Develop an intelligent agent to review and refine resume content
  • Customize the agent based on your chosen parameters
  • Generate quality improvement suggestions to make your resume stand out
img.name

Create a Resume Reviewer Agent

Create a smart agent to edit and review your resume, offering tailored suggestions

Learning Objective:

  • Develop a chatbot designed to handle customer inquiries
  • Implement functionality to analyze and understand customer problems
  • Deliver accurate and relevant solutions based on the identified issues
img.name

Build a Customer query Chatbot

Build a chatbot to take care of customer queries and provide relevant resolutions based on their problems

Learning Objective:

  • Develop a sophisticated AI agent that compiles comprehensive product information
  • Analyze customer data to identify the most suitable products for individual needs
  • Generate tailored sales pitches to effectively engage potential customers
img.name

Design a Sales Agent

Build an advanced agent that consists of information regarding various products of the company

Learning Objective:

  • Discover the advanced capabilities of GPT-4o for processing multimodal data
  • Analyze handwritten text, graphs, and charts for comprehensive insights
  • Engage with diverse media formats, including images, audio, and video, to enhance understanding and application
img.name

Multimodal Prompt Engineering with GPT-4o

Explores GPT-4o's multimodal capabilities, including handwritten text, graphs, charts, images, etc

Learning Objective:

  • Develop a foundational Retrieval-Augmented Generation (RAG) system
  • Implement source citation for all generated responses
  • Enhance information credibility by linking to original content
img.name

Simple RAG System with Sources

Building a basic Retrieval-Augmented Generation system that cites sources alongside the generated responses

Learning Objective:

  • Design a conversational RAG system that supports multiple users simultaneously
  • Implement memory features to retain context across conversations
  • Ensure the system provides accurate and relevant responses based on user interactions
img.name

Multi-user Conversational RAG System

Developing a conversational RAG system that can handle multiple users and conversations with memory to provide relevant responses

Learning Objective:

  • Integrate various data formats, including text, tables, and images, into a cohesive RAG pipeline
  • Utilize multimodal language models (LLMs) to enhance data processing and analysis
  • Enable the system to answer questions by leveraging diverse multimodal data sources effectively
img.name

Multimodal RAG System

Integrates multiple data formats (text, tables, images) into a RAG pipeline to leverage multimodal LLMs for answering questions

Agentic Launchpad Offer

Flat 20% discount.

  • Become a certified Agentic AI expert.
  • Use Coupon Code: GOAGENTIC20 at the checkout.
Get Details

Enrollment closes in

  • 1

    Day

  • 5

    hr

  • 35

    min

  • 20

    Sec
Hurry! Last 1 seat left!

Meet the instructors & mentors

Our instructor and mentors carry years of experience in data industry

img-name

Chi Wang, Senior Staff Research Scientist at Google DeepMind, specializes in AI, machine learning, and data mining. Formerly a Principal Researcher at Microsoft Research, he holds a Ph.D. from UIUC and has driven advancements in web entity disambiguation, social network analysis, and AI-driven optimization.

Chi Wang

Senior Staff Research Scientist

img
img-name

Miguel Otero Pedrido, a leader in AI and Machine Learning, is the Founder of The Neural Maze and a Senior Machine Learning Engineer at Dressipi. With 9 years of expertise in AI systems, MLOps, and AI agents, he has driven AI innovations at BBVA, Telefónica Tech, and Enagás.

Miguel Otero Pedrido

Founder

img
img-name

Eleni Verteouri, GenAI Tech Lead and Director - Conversational Banking at UBS, drives AI innovation and strategic partnerships. With 12 years of expertise in Generative AI, product management, and risk modeling, she has led AI transformations in finance.

Eleni

GenAI Tech Lead and Director - Conversational Banking

img
img-name

Qingyun Wu, founder of AG2 (formerly AutoGen) and Assistant Professor at Penn State University, brings over seven years of expertise in AI and machine learning. Her work spans AI agents, reinforcement learning, and algorithm optimization, with roles at Microsoft, Adobe, and Yahoo driving advancements in AI technologies.

Qingyun Wu

Creator and Founder

img
img-name

Alessandro Romano, Senior Data Scientist at Kuehne+Nagel, has over six years of experience in AI and data science. With roles at FREE NOW and Cargonexx GmbH, he specializes in building AI-driven solutions and AI agents to automate workflows and enhance efficiency. A skilled public speaker, Alessandro effectively bridges technical concepts with diverse audiences.

Alessandro Romano

Senior Data Scientist

img
img-name

Pio Scelina is an experienced AI Agent developer with over 6 years of expertise in creating advanced AI solutions. His strong research background keeps him at the leading edge of new tools and applications, constantly driving innovation. Known for his passion for exploring emerging technologies and enhancing AI-driven experiences, Pio has established a reputation as a trailblazer in AI-powered transformation.

Pio Scelina

AI Agent Developer

img
img-name

Kamil Ruczynski is a seasoned AI Agent developer with over 7 years of experience in cutting-edge AI organisations. His deep expertise in research and development enables him to stay ahead of emerging trends and technologies, driving continuous innovation. Renowned for his dedication to pushing the boundaries of AI-driven applications, Kamil has earned recognition as a pioneer in creating transformative AI experiences

Kamil Ruczynski

AI Agent Developer

img
img-name

Dipanjan has over 10+ years of hands-on and leadership industry experience as well as training, consulting and education initiatives in Data Science and Artificial Intelligence.

Dipanjan S.

Head of Community and Principal AI Scientist

img
img-name

Bhaskarjit is an award-winning data scientist with a diverse background in multiple domains such as Retail, Airlines, Media & Entertainment, BFSI

Bhaskarjit Sarmah

Vice President

img
img-name

Kunal has 15+ years of experience in the field of Data Science and is the founder and CEO of Analytics Vidhya- world's 2nd largest Data Science coummunity.

Kunal Jain

Founder & CEO

img
img-name

Mani Kanteswara Rao Garlapati is an Associate Principal at Google, where he leads data science initiatives focused on fraud and spam detection across various Google products. With a strong background in machine learning and data science, he has previously held positions such as Lead Strategist at Google and Senior Data Scientist at Walmart Labs

Mani Garlapati

Associate Principal

img
img-name

Lucas Soares is an AI Engineer at Otovo, focusing on AI-driven solutions through large language models (LLMs) and computer vision. With 6+ years of experience across sectors like biometrics and retail, he excels in developing machine learning tools

Lucas Soares

AI Engineer

img
img-name

Prashant Sahu, an IIT Bombay alumnus and seasoned Corporate Trainer in AI & ML, has over 17 years of diverse experience in areas like research, automation, and cryptography. His expertise extends to developing comprehensive Data Science training materials, including curriculum, case studies, and projects.

Prashant Sahu

Manager - Data Science - Instructor

img
img-name

Apoorv Vishnoi, a seasoned professional with over 13 years of experience, including more than 10 years in Machine Learning and AI. He holds an MBA from the prestigious Indian School of Business and several certifications in Data Science and Deep Learning. His ability to simplify complex concepts in Data Science and Machine Learning has established him as a respected and influential instructor.

Apoorv Vishnoi

Head - Training Initiative

img

Instructor-Led Live Workshops

Live Agentic AI workshops : Solve real-world problems with expert insights

Learning Objective:

  • Manage multi-turn conversations effectively.
  • Apply advanced prompting techniques for complex tasks.
  • Design chatbot scenarios and analytical reports.
  • Understand AI limitations and ethical considerations.
Mastering-Prompt-Engineering

Upcoming7:00 PM - 10:00 PM (IST) IST

Mastering Prompt Engineering II

Jyant Mahara
Zscaler

Learning Objective:

  • Learn memory management and snapshots for AI Agents.
  • Build conversational Agents with persistent memory.
  • Develop a financial analyst Agentic system.
  • Create adaptive Agents that retain context and improve over time.
Building-Advanced-AI-Agents-with-LangGraph-Conversational-Agents

Upcoming7:00 PM - 10:00 PM (IST) IST

Building Advanced AI Agents with LangGraph - I (Conversational Agents)

Dipanjan Sarkar
Analytics Vidhya

Learning Objective:

  • Understand the importance of prompt engineering.
  • Learn to craft clear, specific, and contextual prompts.
  • Apply few-shot prompting techniques for better AI responses.
  • Refine generated content through iterative improvements.
Mastering-Prompt-Engineering

Upcoming7:00 PM - 10:00 PM (IST) IST

Mastering Prompt Engineering I

Jyant Mahara
Zscaler

Learning Objective:

  • Learn LangChain fundamentals for building AI Agents.
  • Explore prompts, chat models, tools, and function calling.
  • Develop tool-use Agents with hands-on exercises.
  • Integrate memory to create adaptive conversational Agents.
Building-AI-Agents-with-LangChain

Upcoming7:00 PM - 10:00 PM (IST) IST

Building AI Agents with LangChain

Dipanjan Sarkar
Analytics Vidhya

Learning Objective:

  • Differentiate RAG from prompt engineering and fine-tuning.
  • Learn when to use RAG versus other approaches.
  • Understand Retrieval-Augmented Fine-Tuning (RAFT).
  • Build, tune, and evaluate a RAG pipeline.
Mastering-RAG-Systems

Upcoming7:00 PM - 10:00 PM (IST) IST

Mastering RAG Systems I

Jyant Mahara
Zscaler

Learning Objective:

  • Compare GraphRAG with traditional RAG systems.
  • Build and store knowledge graphs in graph databases.
  • Create and evaluate GraphRAG pipelines.
  • Understand the architecture and key components of a RAG system.
Mastering-RAG-Systems

Upcoming7:00 PM - 10:00 PM (IST) IST

Mastering RAG Systems II

Jyant Mahara
Zscaler

AV Assisted Placements

Our alumni excel at top firms-highlights from 1200+ success stories

Kaushal Shetty

50 hike

Assistant Manager - Analytics

https://svgcdn.analyticsvidhya.com/amazonhttps://svgcdn.analyticsvidhya.com/paisa baazar

Samsensuruya S

50 hike

Consultant

https://svgcdn.analyticsvidhya.com/infosyshttps://svgcdn.analyticsvidhya.com/fractal

Ashiwn Deendayalan

50 hike

Assistant Manager - Analytics

https://svgcdn.analyticsvidhya.com/cognizanthttps://svgcdn.analyticsvidhya.com/paisa baazar

Rohit Pant

50 hike

Assistant Manager - Analytics

https://svgcdn.analyticsvidhya.com/wiprohttps://svgcdn.analyticsvidhya.com/EXL

Industry-Recognized Certification

Get certied in Agentic AI from Analytics Vidhya and Western State University, and share your achievement with the world

AV Learners Spotlight

Card cap

All my expectations from the course and workshops have been fulfilled

I've had the pleasure of witnessing the exceptional talent nurtured by Analytics Vidhya's hackathons.

avtar
company logo
Card cap

I found future learning with Gen AI very interesting

I've had the pleasure of witnessing the exceptional talent nurtured by Analytics Vidhya's hackathons.

avtar
company logo
Card cap

The program has all the cutting edge technologies covered

I've had the pleasure of witnessing the exceptional talent nurtured by Analytics Vidhya's hackathons.

avtar
company logo
Card cap

I really value the personalised mentorship sessions which came with the program

I've had the pleasure of witnessing the exceptional talent nurtured by Analytics Vidhya's hackathons.

avtar
company logo
Card cap

Mentors of Analytics Vidhya have business experience and are practitioners themselves

I've had the pleasure of witnessing the exceptional talent nurtured by Analytics Vidhya's hackathons.

avtar
company logo
Card cap

The content Analytics Vidhya provided was far better than any other organisation

I've had the pleasure of witnessing the exceptional talent nurtured by Analytics Vidhya's hackathons.

avtar
company logo
View More

Money Back Guarantee!

Agentic AI Pioneer program comes with 7 days no questions asked Money back Guarantee. If the program is bought in pre-launch offer or on discounted price, then the fee paid is non-refundable. For more T&C, Click here

Invest in your future today

  • Build expertise with cutting-edge Agentic AI frameworks
  • Boost Your Career Fast-track your growth with personalized mentorship.
  • Enroll now and start your journey to becoming an Agentic AI expert.
  • Customized Roadmap for Career Success
  • 20+ Cutting edge tools and frameworks
  • 50+ Projects for Experiential Learning

One Time

$1499.00
(Inclusive of all taxes)

Enroll now and become an Agentic AI expert

EMI

$99.00
(Inclusive of all taxes)

Secure your spot and begin the journey to exceptional growth

Contact Us Today

Take the first step towards a future of innovation & excellence with Analytics Vidhya

Upskill, Reskill, Thrive

Get Expert Guidance

Need support? We've got your back anytime!

Frequently asked questions

Looking for answers to other questions?

AI agents are autonomous systems designed to sense their environment, process information, and perform actions to achieve specific goals. They function by leveraging AI techniques like machine learning, natural language processing, and decision-making algorithms to automate or assist with tasks. You’ll learn about the role of agents in the AI ecosystem and their real-world applications in the Introduction to Generative AI module.

AI agents are classified into five types based on their complexity and interaction with the environment: Simple Reflex Agents: Follow predefined rules to respond to stimuli. Model-Based Reflex Agents: Use internal models to predict outcomes. Goal-Based Agents: Make decisions aimed at achieving specific objectives. Utility-Based Agents: Evaluate and optimize outcomes for maximum utility. Learning Agents: Improve their performance through experience. These types are discussed in detail in the Agents and Their Applications module.

Yes, ChatGPT is an AI agent specializing in conversational tasks. It uses advanced natural language processing capabilities to understand queries and provide human-like responses, making it a versatile tool for automating communication. The Exploring LLMs module explains how conversational agents like ChatGPT utilize large language models effectively.

We use cookies essential for this site to function well. Please click to help us improve its usefulness with additional cookies. Learn about our use of cookies in our Privacy Policy & Cookies Policy.

Show details